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Geospatial

Advancing Geospatial AI. Accuracy, Scale, and Insight.

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Key challenges

Geospatial organizations must turn vast, varied datasets into usable inputs for models that drive mapping, analysis, and decision-making:

Inconsistent data quality

Satellite, drone, and aerial data varies in resolution, completeness, and format.

High labeling complexity

Object detection and classification across terrain, assets, and structures is nuanced and time-consuming.

Model bias & fairness

Lack of diverse data can lead to blind spots in geographic or demographic coverage.

Real-time analysis

Many use cases (disaster response, asset tracking) require rapid data processing and insight generation.

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Key trends

Geospatial AI is reshaping how we analyze and interact with the physical world:

Remote sensing

AI extracts features from satellite and aerial imagery for environmental and land use insights.

Smart mapping

Models enhance accuracy and automate updating of maps and geodata.

Infrastructure monitoring

AI supports asset tracking and anomaly detection for utilities and cities.

Climate & disaster response

AI enables predictive models for weather, flooding, and fire risks.

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Succeed with CloudFactory

CloudFactory helps geospatial leaders deliver AI that sees the world clearly—by making unstructured spatial data usable, supporting scalable labeling, and ensuring model quality across locations and tasks:

AI Consulting

We identify key geospatial workflows where AI delivers measurable value.

Data Engine

We clean, format, and label imagery and sensor data for mapping, segmentation, and detection tasks.

Training Engine

We tune models for specific regions, sensor types, or temporal variations.

Inference Engine

We monitor predictions for anomalies, bias, and accuracy drift.

AI Engine

We help operationalize AI systems that turn data into insight across physical landscapes.

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Client Story: Allvision

Spatial AI innovator Allvision meets its ambitious smart city GTM mission 8x faster thanks to our flexible partnership.

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Client Story: Nearmap

A geospatial mapping company turned to CloudFactory for help to scale a new roof geometry business.

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Transforming insurance assessments at scale: AI-powered geospatial solutions

Revolutionizing insurance with AI-driven geospatial solutions for efficient, scalable assessments. Discover cutting-edge innovation for insurers.

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What our Clients are Saying

CloudFactory has been working with us from the beginning to understand how we build a scalable model, how we become faster and more efficient, and how we get better at increasing the support we give our clients.

Dr. Michael Bewley

VP, AI & Computer Vision, Nearmap

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One of our key challenges was tagging all the data we captured and making sense of all it so we could build our models. This process requires highly domain specific knowledge. We had been doing the work in-house but it is very, very time-consuming. The question was how could we teach annotators how to do this without them being agronomists. What we discovered is that you need to iterate and have a continuous exchange of communication, which is something we can do with the CloudFactory team.

Francois Lemarchand

Senior Data Scientist, Hummingbird Technologies

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Ready to get started?

In high-stakes environments, AI can’t just be good—it must be right.

Let’s build AI you can trust.

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